Part-Time Data Analyst: Actionable Insights in Funchal

Event Staffing; Portugal; On-site; EUR 13,000 - 15,000; Part time

Job summary

Event Staffing in Funchal, Portugal is seeking a Data Analyst for a part-time role. You will collect, clean, and analyze large datasets to provide actionable insights and recommendations.

The position offers a monthly salary of 1400 USD and requires strong SQL/Excel skills, plus familiarity with Python or R is a plus. Ideal candidates hold a relevant degree and have proven experience in data analysis, with excellent communication to present findings to non-technical stakeholders.

Qualifications

• Bachelor's degree in Mathematics, Statistics, Computer Science or related field.
• Proven experience as a Data Analyst or similar role.
• Strong analytical skills with the ability to interpret complex datasets.
• Proficient in SQL, Excel, and other statistical software.
• Knowledge of programming languages such as Python or R is a plus.
• Excellent communication skills with the ability to present technical information to non-technical stakeholders.

Responsibilities

• Collect data from various sources and perform data cleaning and manipulation.
• Analyze data using statistical methods to identify patterns, trends, and correlations.
• Create reports and visualizations to present findings clearly.
• Collaborate with cross-functional teams to identify business needs and develop data-driven solutions.
• Continuously monitor data quality and identify opportunities for improvement.
• Stay updated with industry trends and best practices in data analysis.

Skills

Analytical thinking

Data interpretation

Communication skills

Problem solving

Education

Bachelor's degree in Mathematics/Statistics/CS

Tools

SQL

Excel

Python

R

Job description

Event Staffing in Funchal, Portugal is seeking a Data Analyst for a part-time role. You will collect, clean, and analyze large datasets to provide actionable insights and recommendations.

The position offers a monthly salary of 1400 USD and requires strong SQL/Excel skills, plus familiarity with Python or R is a plus. Ideal candidates hold a relevant degree and have proven experience in data analysis, with excellent communication to present findings to non-technical stakeholders.